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Título

An interactive hybrid system for identifying and filtering unsolicited email

AutorCastillo Sobrino, María Dolores del ; Serrano Moreno, José Ignacio
Palabras clavee-mail classification
Heuristic knowledge
Machine Learning
Fecha de publicaciónsep-2005
EditorInstitute of Electrical and Electronics Engineers
CitaciónWeb Intelligence, 2005. Proceedings. The 2005 IEEE/WIC/ACM International Conference on , vol., no., pp. 814- 815
ResumenThis paper presents a system for automatically detecting and filtering unsolicited electronic messages. The underlying filtering method is based on email origin and content. A heuristic knowledge base formed by spam words is extracted from labelled emails by a finite state automata. The processing of three parts of every email by a single Bayesian filter and the integration of the every part classification allows to achieve a maximum performance goal. The system is dynamic and interactive and evolves from the evolution of spam by incremental machine learning.
Versión del editorhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1517964&isnumber=32502
URIhttp://hdl.handle.net/10261/21688
DOI10.1109/WI.2005.31
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